AWS Data Classification Natural Language Processing 
AWS Machine Learning Blog
SEPTEMBER 24, 2024
Advancements in AI and natural language processing (NLP) show promise to help lawyers with their work, but the legal industry also has valid questions around the accuracy and costs of these new techniques, as well as how customer data will be kept private and secure. These capabilities are built using the AWS Cloud.
Dataconomy
JUNE 16, 2023
The business’s solution makes use of AI to continually monitor personnel and deliver event-driven security awareness training in order to prevent data theft. The cloud-based DLP solution from Gamma AI uses cutting-edge deep learning for contextual perception to achieve a data classification accuracy of 99.5%.
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AWS Machine Learning Blog
NOVEMBER 22, 2023
An intelligent document processing (IDP) project typically combines optical character recognition (OCR) and natural language processing (NLP) to automatically read and understand documents. The AWS Well-Architected Framework helps you understand the benefits and risks of decisions made while building workloads on AWS.
AWS Machine Learning Blog
NOVEMBER 1, 2023
Organizations can search for PII using methods such as keyword searches, pattern matching, data loss prevention tools, machine learning (ML), metadata analysis, data classification software, optical character recognition (OCR), document fingerprinting, and encryption.
AWS Machine Learning Blog
DECEMBER 5, 2023
Customers can create the custom metadata using Amazon Comprehend , a natural-language processing (NLP) service managed by AWS to extract insights about the content of documents, and ingest it into Amazon Kendra along with their data into the index. You can run the cleanup cells in the notebook.
AWS Machine Learning Blog
MARCH 27, 2025
Generative AI supports key use cases such as content creation, summarization, code generation, creative applications, data augmentation, natural language processing, scientific research, and many others. Amazon Bedrock is well-suited for this data augmentation exercise to generate high-quality ground truth data.
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